I am working with a bicycle trip table called 'Appended 2019-2021 Trip Data', which contains all information I need for analysis.
I am looking to create aggregated measures to count instances of specific values of specific columns.
I wasn't sure how to do this as a calculated measure, and ended up with multiple tables to group by values (e.g. Count Start Day of Week, Count # of Rides from Start Location, etc.).
This approach doesn't make sense when trying to incorporate the counted values in a dashboard.
Using the 'Count # of Rides from Start Location' as an example, how can I create a calculated measure to count instances of # of rides started from each unique specified location? (there are 400+ unique starting locations)
Initial thoughts are to use calculate - count - filter on 'from_station_name' but am not sure how to write the formula.
Original Table:
Original data table
Aggregated table values that I'm looking to store in a calculated measure:
Aggregation that I'm looking for
Hi @JJH_
You're on the right lines having a measure to count the number of rides rather than having separate tables holding the results. However, the measure doesn't need to be as specific as 'Count # of Rides from Start Location', 'Count # of Rides from To Location' etc. You can have a single 'Count # of Rides' measure, then it's the column(s) you use in your visual that determines how that's split.
Count # of Rides = COUNTROWS('Trip Data')
Hi @JJH_
Try this measue:
Output:
If this post helps, please consider accepting it as the solution to help the other members find it more quickly.
Appreciate your Kudos!!
Count = COUNT('Trip Data'[from_station_name]) -->counts # of all unique 'from_station_name', which is 588.
Count by filter = VAR _FSN = MAX ( 'Trip Data'[from_station_name] ) RETURN CALCULATE ( COUNTROWS ( 'Trip Data' ), FILTER ( 'Trip Data', 'Trip Data'[from_station_name] = _FSN ) )
is resulting in an output of 3, which doesn't seem to make sense?
Welcome to the Power BI Community Show! Jeroen ter Heerdt talks about the importance of Data Modeling.
Put your data visualization and design skills to the test! This exciting challenge is happening now through May 31st!
User | Count |
---|---|
131 | |
69 | |
37 | |
27 | |
24 |
User | Count |
---|---|
140 | |
78 | |
43 | |
40 | |
22 |